中国电机工程学报2013，Vol.33Issue(10)：98-105,前插13,9.
基于云理论和元胞自动机理论的城市配电网空间负荷预测
Spatial Load Forecasting for Distribution Network Based on Cloud Theory and Cellular Automata
摘要
Abstract
A cellular automata (CA) model to simulate the land developing for power load distribution and forecasting was proposed in urban power system planning. The knowledge representation based on cloud model was adopted to integrate the fuzziness and randomness of factors' qualitative concept, also constituted the mapping between qualitative and quantitative analysis in this model. To obtain the last conversion rules, the CA conversion rules were trained by cloud theory in consideration of several factors affecting power load development. The proposed method is tested by a given planning area and its validity is proved by comparison the forecasting results and their real value.关键词
空间负荷预测/云理论/元胞自动机/转换规则Key words
spatial load forecasting/ cloud theory/ cellular automata (CA)/ transformation rules分类
信息技术与安全科学引用本文复制引用
刘自发,庞铖铖,王泽黎,李可..基于云理论和元胞自动机理论的城市配电网空间负荷预测[J].中国电机工程学报,2013,33(10):98-105,前插13,9.基金项目
国家重点基础研究发展计划项目(973项目)(2009CB219700,2009CB219703). （973项目）
